Overview

Dataset statistics

Number of variables22
Number of observations79215
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.3 MiB
Average record size in memory176.0 B

Variable types

Numeric22

Alerts

X_13 is highly correlated with X_14High correlation
X_14 is highly correlated with X_13 and 3 other fieldsHigh correlation
X_15 is highly correlated with X_14 and 2 other fieldsHigh correlation
X_16 is highly correlated with X_14 and 3 other fieldsHigh correlation
X_17 is highly correlated with X_15 and 2 other fieldsHigh correlation
X_18 is highly correlated with X_14 and 3 other fieldsHigh correlation
X_24 is highly correlated with X_25 and 4 other fieldsHigh correlation
X_25 is highly correlated with X_24 and 4 other fieldsHigh correlation
X_26 is highly correlated with X_24 and 4 other fieldsHigh correlation
X_27 is highly correlated with X_24 and 4 other fieldsHigh correlation
X_28 is highly correlated with X_24 and 4 other fieldsHigh correlation
X_29 is highly correlated with X_24 and 4 other fieldsHigh correlation
X_38 is highly correlated with X_39 and 1 other fieldsHigh correlation
X_39 is highly correlated with X_38 and 1 other fieldsHigh correlation
X_40 is highly correlated with X_38 and 1 other fieldsHigh correlation
X_41 is highly correlated with X_43High correlation
X_42 is highly correlated with X_44 and 1 other fieldsHigh correlation
X_43 is highly correlated with X_41 and 1 other fieldsHigh correlation
X_44 is highly correlated with X_16 and 1 other fieldsHigh correlation
X_45 is highly correlated with X_42 and 1 other fieldsHigh correlation
X_13 is highly correlated with X_14High correlation
X_14 is highly correlated with X_13 and 4 other fieldsHigh correlation
X_15 is highly correlated with X_14 and 2 other fieldsHigh correlation
X_16 is highly correlated with X_14 and 3 other fieldsHigh correlation
X_17 is highly correlated with X_14 and 3 other fieldsHigh correlation
X_18 is highly correlated with X_14 and 3 other fieldsHigh correlation
X_24 is highly correlated with X_25 and 4 other fieldsHigh correlation
X_25 is highly correlated with X_24 and 4 other fieldsHigh correlation
X_26 is highly correlated with X_24 and 4 other fieldsHigh correlation
X_27 is highly correlated with X_24 and 4 other fieldsHigh correlation
X_28 is highly correlated with X_24 and 4 other fieldsHigh correlation
X_29 is highly correlated with X_24 and 4 other fieldsHigh correlation
X_38 is highly correlated with X_39 and 1 other fieldsHigh correlation
X_39 is highly correlated with X_38High correlation
X_40 is highly correlated with X_38High correlation
X_41 is highly correlated with X_43High correlation
X_42 is highly correlated with X_44 and 1 other fieldsHigh correlation
X_43 is highly correlated with X_41 and 1 other fieldsHigh correlation
X_44 is highly correlated with X_16 and 1 other fieldsHigh correlation
X_45 is highly correlated with X_42 and 1 other fieldsHigh correlation
X_14 is highly correlated with X_15 and 1 other fieldsHigh correlation
X_15 is highly correlated with X_14 and 1 other fieldsHigh correlation
X_16 is highly correlated with X_17 and 1 other fieldsHigh correlation
X_17 is highly correlated with X_16 and 1 other fieldsHigh correlation
X_18 is highly correlated with X_14 and 3 other fieldsHigh correlation
X_24 is highly correlated with X_25 and 4 other fieldsHigh correlation
X_25 is highly correlated with X_24 and 4 other fieldsHigh correlation
X_26 is highly correlated with X_24 and 4 other fieldsHigh correlation
X_27 is highly correlated with X_24 and 4 other fieldsHigh correlation
X_28 is highly correlated with X_24 and 4 other fieldsHigh correlation
X_29 is highly correlated with X_24 and 4 other fieldsHigh correlation
X_38 is highly correlated with X_39 and 1 other fieldsHigh correlation
X_39 is highly correlated with X_38 and 1 other fieldsHigh correlation
X_40 is highly correlated with X_38 and 1 other fieldsHigh correlation
X_41 is highly correlated with X_43High correlation
X_42 is highly correlated with X_44High correlation
X_43 is highly correlated with X_41 and 1 other fieldsHigh correlation
X_44 is highly correlated with X_42High correlation
X_45 is highly correlated with X_43High correlation
X_13 is highly correlated with X_14 and 3 other fieldsHigh correlation
X_14 is highly correlated with X_13 and 4 other fieldsHigh correlation
X_15 is highly correlated with X_13 and 4 other fieldsHigh correlation
X_16 is highly correlated with X_13 and 4 other fieldsHigh correlation
X_17 is highly correlated with X_14 and 3 other fieldsHigh correlation
X_18 is highly correlated with X_13 and 4 other fieldsHigh correlation
X_24 is highly correlated with X_25 and 3 other fieldsHigh correlation
X_25 is highly correlated with X_24 and 4 other fieldsHigh correlation
X_26 is highly correlated with X_24 and 4 other fieldsHigh correlation
X_27 is highly correlated with X_25 and 3 other fieldsHigh correlation
X_28 is highly correlated with X_24 and 4 other fieldsHigh correlation
X_29 is highly correlated with X_24 and 4 other fieldsHigh correlation
X_38 is highly correlated with X_41 and 1 other fieldsHigh correlation
X_39 is highly correlated with X_40High correlation
X_40 is highly correlated with X_39High correlation
X_41 is highly correlated with X_38 and 4 other fieldsHigh correlation
X_42 is highly correlated with X_38 and 3 other fieldsHigh correlation
X_43 is highly correlated with X_41 and 2 other fieldsHigh correlation
X_44 is highly correlated with X_41 and 2 other fieldsHigh correlation
X_45 is highly correlated with X_41 and 2 other fieldsHigh correlation
X_38 is highly skewed (γ1 = 21.53589587) Skewed
df_index is uniformly distributed Uniform

Reproduction

Analysis started2022-08-08 03:58:42.370395
Analysis finished2022-08-08 03:59:58.961640
Duration1 minute and 16.59 seconds
Software versionpandas-profiling v3.2.0
Download configurationconfig.json

Variables

df_index
Real number (ℝ≥0)

UNIFORM

Distinct39608
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19803.25
Minimum0
Maximum39607
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size619.0 KiB
2022-08-08T12:59:59.041401image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1980
Q19901.5
median19803
Q329705
95-th percentile37626.3
Maximum39607
Range39607
Interquartile range (IQR)19803.5

Descriptive statistics

Standard deviation11433.77256
Coefficient of variation (CV)0.5773684907
Kurtosis-1.199999999
Mean19803.25
Median Absolute Deviation (MAD)9902
Skewness1.6561712 × 10-9
Sum1568714449
Variance130731155.1
MonotonicityNot monotonic
2022-08-08T12:59:59.203121image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02
 
< 0.1%
264072
 
< 0.1%
264002
 
< 0.1%
264012
 
< 0.1%
264022
 
< 0.1%
264032
 
< 0.1%
264042
 
< 0.1%
264052
 
< 0.1%
264062
 
< 0.1%
264082
 
< 0.1%
Other values (39598)79195
> 99.9%
ValueCountFrequency (%)
02
< 0.1%
12
< 0.1%
22
< 0.1%
32
< 0.1%
42
< 0.1%
52
< 0.1%
62
< 0.1%
72
< 0.1%
82
< 0.1%
92
< 0.1%
ValueCountFrequency (%)
396071
< 0.1%
396062
< 0.1%
396052
< 0.1%
396042
< 0.1%
396032
< 0.1%
396022
< 0.1%
396012
< 0.1%
396002
< 0.1%
395992
< 0.1%
395982
< 0.1%

X_12
Real number (ℝ≥0)

Distinct24
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.373336111
Minimum4.27
Maximum4.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size619.0 KiB
2022-08-08T12:59:59.355551image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum4.27
5-th percentile4.34
Q14.36
median4.37
Q34.39
95-th percentile4.41
Maximum4.59
Range0.32
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.02183974819
Coefficient of variation (CV)0.00499384169
Kurtosis0.4278170534
Mean4.373336111
Median Absolute Deviation (MAD)0.01
Skewness0.09538646153
Sum346433.82
Variance0.0004769746012
MonotonicityNot monotonic
2022-08-08T12:59:59.482523image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
4.3818147
22.9%
4.3713117
16.6%
4.3610454
13.2%
4.399362
11.8%
4.359102
11.5%
4.46108
 
7.7%
4.344234
 
5.3%
4.413187
 
4.0%
4.332238
 
2.8%
4.421426
 
1.8%
Other values (14)1840
 
2.3%
ValueCountFrequency (%)
4.271
 
< 0.1%
4.282
 
< 0.1%
4.293
 
< 0.1%
4.337
 
< 0.1%
4.31236
 
0.3%
4.32595
 
0.8%
4.332238
 
2.8%
4.344234
5.3%
4.359102
11.5%
4.3610454
13.2%
ValueCountFrequency (%)
4.591
 
< 0.1%
4.491
 
< 0.1%
4.482
 
< 0.1%
4.4712
 
< 0.1%
4.4639
 
< 0.1%
4.4562
 
0.1%
4.44251
 
0.3%
4.43598
 
0.8%
4.421426
1.8%
4.413187
4.0%

X_13
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct26
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1433659029
Minimum0.05
Maximum0.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size619.0 KiB
2022-08-08T12:59:59.618763image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.05
5-th percentile0.1
Q10.13
median0.14
Q30.16
95-th percentile0.19
Maximum0.34
Range0.29
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.02527388023
Coefficient of variation (CV)0.1762893388
Kurtosis0.5269889659
Mean0.1433659029
Median Absolute Deviation (MAD)0.02
Skewness0.2092799702
Sum11356.73
Variance0.0006387690219
MonotonicityNot monotonic
2022-08-08T12:59:59.735725image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0.1417376
21.9%
0.1510913
13.8%
0.139793
12.4%
0.168933
11.3%
0.127682
9.7%
0.176299
 
8.0%
0.115120
 
6.5%
0.184007
 
5.1%
0.12811
 
3.5%
0.192202
 
2.8%
Other values (16)4079
 
5.1%
ValueCountFrequency (%)
0.0513
 
< 0.1%
0.0646
 
0.1%
0.07157
 
0.2%
0.08479
 
0.6%
0.091252
 
1.6%
0.12811
 
3.5%
0.115120
 
6.5%
0.127682
9.7%
0.139793
12.4%
0.1417376
21.9%
ValueCountFrequency (%)
0.341
 
< 0.1%
0.332
 
< 0.1%
0.281
 
< 0.1%
0.276
 
< 0.1%
0.263
 
< 0.1%
0.2519
 
< 0.1%
0.2430
 
< 0.1%
0.2387
 
0.1%
0.22243
0.3%
0.21566
0.7%

X_14
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct36
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.37221057
Minimum13.08
Maximum13.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size619.0 KiB
2022-08-08T12:59:59.876983image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum13.08
5-th percentile13.32
Q113.35
median13.37
Q313.39
95-th percentile13.42
Maximum13.51
Range0.43
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.02984952452
Coefficient of variation (CV)0.002232205691
Kurtosis0.8991382222
Mean13.37221057
Median Absolute Deviation (MAD)0.02
Skewness-0.03809019941
Sum1059279.66
Variance0.0008909941141
MonotonicityNot monotonic
2022-08-08T13:00:00.011899image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
13.3815508
19.6%
13.3710300
13.0%
13.369429
11.9%
13.358149
10.3%
13.396968
8.8%
13.45663
 
7.1%
13.345278
 
6.7%
13.413965
 
5.0%
13.333502
 
4.4%
13.422556
 
3.2%
Other values (26)7897
10.0%
ValueCountFrequency (%)
13.081
 
< 0.1%
13.091
 
< 0.1%
13.121
 
< 0.1%
13.151
 
< 0.1%
13.162
< 0.1%
13.193
< 0.1%
13.212
< 0.1%
13.223
< 0.1%
13.233
< 0.1%
13.243
< 0.1%
ValueCountFrequency (%)
13.511
 
< 0.1%
13.497
 
< 0.1%
13.4822
 
< 0.1%
13.4768
 
0.1%
13.46188
 
0.2%
13.45534
 
0.7%
13.441112
 
1.4%
13.431605
2.0%
13.422556
3.2%
13.413965
5.0%

X_15
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct30
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.38190658
Minimum13.19
Maximum13.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size619.0 KiB
2022-08-08T13:00:00.147529image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum13.19
5-th percentile13.33
Q113.36
median13.38
Q313.41
95-th percentile13.42
Maximum13.5
Range0.31
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.029456911
Coefficient of variation (CV)0.002201249188
Kurtosis-0.08009965792
Mean13.38190658
Median Absolute Deviation (MAD)0.02
Skewness-0.3206922949
Sum1060047.73
Variance0.0008677096058
MonotonicityNot monotonic
2022-08-08T13:00:00.276666image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
13.4112764
16.1%
13.389638
12.2%
13.378911
11.2%
13.48550
10.8%
13.398424
10.6%
13.367582
9.6%
13.356415
8.1%
13.424403
 
5.6%
13.343929
 
5.0%
13.332333
 
2.9%
Other values (20)6266
7.9%
ValueCountFrequency (%)
13.191
 
< 0.1%
13.21
 
< 0.1%
13.231
 
< 0.1%
13.242
 
< 0.1%
13.252
 
< 0.1%
13.2618
 
< 0.1%
13.2726
 
< 0.1%
13.2859
 
0.1%
13.29150
0.2%
13.3298
0.4%
ValueCountFrequency (%)
13.52
 
< 0.1%
13.493
 
< 0.1%
13.487
 
< 0.1%
13.4746
 
0.1%
13.46129
 
0.2%
13.45328
 
0.4%
13.441020
 
1.3%
13.432272
 
2.9%
13.424403
 
5.6%
13.4112764
16.1%

X_16
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct39
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.46405302
Minimum13.15
Maximum13.61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size619.0 KiB
2022-08-08T13:00:00.423104image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum13.15
5-th percentile13.4
Q113.44
median13.47
Q313.49
95-th percentile13.52
Maximum13.61
Range0.46
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.03664871005
Coefficient of variation (CV)0.002721967152
Kurtosis0.2353858408
Mean13.46405302
Median Absolute Deviation (MAD)0.02
Skewness-0.09811836716
Sum1066554.96
Variance0.001343127949
MonotonicityNot monotonic
2022-08-08T13:00:00.570362image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
13.4713620
17.2%
13.467773
9.8%
13.457637
9.6%
13.486457
8.2%
13.496061
7.7%
13.445956
7.5%
13.54859
 
6.1%
13.434838
 
6.1%
13.423964
 
5.0%
13.513731
 
4.7%
Other values (29)14319
18.1%
ValueCountFrequency (%)
13.151
 
< 0.1%
13.221
 
< 0.1%
13.242
< 0.1%
13.261
 
< 0.1%
13.273
< 0.1%
13.283
< 0.1%
13.291
 
< 0.1%
13.32
< 0.1%
13.311
 
< 0.1%
13.324
< 0.1%
ValueCountFrequency (%)
13.612
 
< 0.1%
13.66
 
< 0.1%
13.5915
 
< 0.1%
13.5838
 
< 0.1%
13.57111
 
0.1%
13.56245
 
0.3%
13.55574
 
0.7%
13.54980
 
1.2%
13.531945
2.5%
13.522739
3.5%

X_17
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct23
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.51266856
Minimum13.4
Maximum13.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size619.0 KiB
2022-08-08T13:00:00.707093image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum13.4
5-th percentile13.47
Q113.5
median13.51
Q313.53
95-th percentile13.55
Maximum13.62
Range0.22
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.02336549456
Coefficient of variation (CV)0.001729154715
Kurtosis0.2464930706
Mean13.51266856
Median Absolute Deviation (MAD)0.01
Skewness-0.1901729832
Sum1070406.04
Variance0.0005459463359
MonotonicityNot monotonic
2022-08-08T13:00:00.827801image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
13.5217627
22.3%
13.5112131
15.3%
13.510797
13.6%
13.539209
11.6%
13.497087
8.9%
13.546727
 
8.5%
13.484876
 
6.2%
13.553445
 
4.3%
13.472727
 
3.4%
13.561634
 
2.1%
Other values (13)2955
 
3.7%
ValueCountFrequency (%)
13.41
 
< 0.1%
13.419
 
< 0.1%
13.4215
 
< 0.1%
13.4364
 
0.1%
13.44152
 
0.2%
13.45510
 
0.6%
13.461381
 
1.7%
13.472727
 
3.4%
13.484876
6.2%
13.497087
8.9%
ValueCountFrequency (%)
13.621
 
< 0.1%
13.613
 
< 0.1%
13.65
 
< 0.1%
13.5937
 
< 0.1%
13.58203
 
0.3%
13.57574
 
0.7%
13.561634
 
2.1%
13.553445
 
4.3%
13.546727
8.5%
13.539209
11.6%

X_18
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct34
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.44934924
Minimum13.23
Maximum13.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size619.0 KiB
2022-08-08T13:00:00.963269image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum13.23
5-th percentile13.4
Q113.43
median13.45
Q313.47
95-th percentile13.5
Maximum13.57
Range0.34
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.02913831235
Coefficient of variation (CV)0.002166522099
Kurtosis0.6984985375
Mean13.44934924
Median Absolute Deviation (MAD)0.02
Skewness-0.1211458726
Sum1065390.2
Variance0.0008490412464
MonotonicityNot monotonic
2022-08-08T13:00:01.099253image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
13.4615105
19.1%
13.4511268
14.2%
13.449815
12.4%
13.438165
10.3%
13.477147
9.0%
13.425798
 
7.3%
13.484671
 
5.9%
13.413900
 
4.9%
13.493576
 
4.5%
13.42187
 
2.8%
Other values (24)7583
9.6%
ValueCountFrequency (%)
13.232
 
< 0.1%
13.251
 
< 0.1%
13.261
 
< 0.1%
13.272
 
< 0.1%
13.281
 
< 0.1%
13.291
 
< 0.1%
13.31
 
< 0.1%
13.314
 
< 0.1%
13.324
 
< 0.1%
13.3310
< 0.1%
ValueCountFrequency (%)
13.573
 
< 0.1%
13.5610
 
< 0.1%
13.5531
 
< 0.1%
13.54102
 
0.1%
13.53352
 
0.4%
13.52700
 
0.9%
13.511283
 
1.6%
13.52169
2.7%
13.493576
4.5%
13.484671
5.9%

X_24
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct37
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.115689074
Minimum1.83
Maximum2.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size619.0 KiB
2022-08-08T13:00:01.240908image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1.83
5-th percentile2.07
Q12.09
median2.12
Q32.14
95-th percentile2.17
Maximum2.35
Range0.52
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.0325969196
Coefficient of variation (CV)0.0154072354
Kurtosis0.4239663751
Mean2.115689074
Median Absolute Deviation (MAD)0.02
Skewness0.2357893725
Sum167594.31
Variance0.001062559167
MonotonicityNot monotonic
2022-08-08T13:00:01.383136image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
2.078947
11.3%
2.118696
11.0%
2.148534
10.8%
2.18230
10.4%
2.128209
10.4%
2.137453
9.4%
2.156743
8.5%
2.096337
8.0%
2.084499
5.7%
2.164482
5.7%
Other values (27)7085
8.9%
ValueCountFrequency (%)
1.831
 
< 0.1%
21
 
< 0.1%
2.012
 
< 0.1%
2.0217
 
< 0.1%
2.0353
 
0.1%
2.04193
 
0.2%
2.05649
 
0.8%
2.061660
 
2.1%
2.078947
11.3%
2.084499
5.7%
ValueCountFrequency (%)
2.354
 
< 0.1%
2.3410
< 0.1%
2.336
< 0.1%
2.325
< 0.1%
2.316
< 0.1%
2.34
 
< 0.1%
2.2912
< 0.1%
2.287
< 0.1%
2.2711
< 0.1%
2.268
< 0.1%

X_25
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct40
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.093877801
Minimum1.96
Maximum2.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size619.0 KiB
2022-08-08T13:00:01.528384image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1.96
5-th percentile2.04
Q12.07
median2.09
Q32.12
95-th percentile2.15
Maximum2.35
Range0.39
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.03304903874
Coefficient of variation (CV)0.0157836521
Kurtosis1.123540403
Mean2.093877801
Median Absolute Deviation (MAD)0.02
Skewness0.4797877658
Sum165866.53
Variance0.001092238962
MonotonicityNot monotonic
2022-08-08T13:00:01.674994image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2.0712204
15.4%
2.18183
10.3%
2.098104
10.2%
2.087597
9.6%
2.117228
9.1%
2.126901
8.7%
2.135797
7.3%
2.065739
7.2%
2.144430
 
5.6%
2.054405
 
5.6%
Other values (30)8627
10.9%
ValueCountFrequency (%)
1.961
 
< 0.1%
1.971
 
< 0.1%
1.981
 
< 0.1%
1.9910
 
< 0.1%
229
 
< 0.1%
2.01101
 
0.1%
2.02352
 
0.4%
2.031052
 
1.3%
2.042697
3.4%
2.054405
5.6%
ValueCountFrequency (%)
2.352
 
< 0.1%
2.346
< 0.1%
2.336
< 0.1%
2.322
 
< 0.1%
2.3110
< 0.1%
2.310
< 0.1%
2.2910
< 0.1%
2.288
< 0.1%
2.276
< 0.1%
2.2613
< 0.1%

X_26
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct40
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.090322792
Minimum1.96
Maximum2.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size619.0 KiB
2022-08-08T13:00:01.822884image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1.96
5-th percentile2.03
Q12.06
median2.09
Q32.12
95-th percentile2.15
Maximum2.35
Range0.39
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.03850899885
Coefficient of variation (CV)0.01842251302
Kurtosis2.338847419
Mean2.090322792
Median Absolute Deviation (MAD)0.03
Skewness0.6082625787
Sum165584.92
Variance0.001482942992
MonotonicityNot monotonic
2022-08-08T13:00:02.101522image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2.088324
10.5%
2.097954
10.0%
2.17655
9.7%
2.037511
9.5%
2.117192
9.1%
2.077152
9.0%
2.126845
8.6%
2.135604
7.1%
2.065467
6.9%
2.144030
 
5.1%
Other values (30)11481
14.5%
ValueCountFrequency (%)
1.961
 
< 0.1%
1.971
 
< 0.1%
1.984
 
< 0.1%
1.9915
 
< 0.1%
245
 
0.1%
2.01228
 
0.3%
2.02680
 
0.9%
2.037511
9.5%
2.042475
 
3.1%
2.053664
4.6%
ValueCountFrequency (%)
2.354
 
< 0.1%
2.3416
 
< 0.1%
2.3324
< 0.1%
2.3228
< 0.1%
2.3124
< 0.1%
2.334
< 0.1%
2.2926
< 0.1%
2.2838
< 0.1%
2.2730
< 0.1%
2.2643
0.1%

X_27
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct40
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.098344001
Minimum1.88
Maximum2.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size619.0 KiB
2022-08-08T13:00:02.250124image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1.88
5-th percentile2.05
Q12.07
median2.09
Q32.12
95-th percentile2.16
Maximum2.35
Range0.47
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.03828977111
Coefficient of variation (CV)0.01824761388
Kurtosis4.078197323
Mean2.098344001
Median Absolute Deviation (MAD)0.02
Skewness1.195539653
Sum166220.32
Variance0.001466106572
MonotonicityNot monotonic
2022-08-08T13:00:02.386757image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2.0712245
15.5%
2.18194
10.3%
2.097900
10.0%
2.117222
9.1%
2.087196
9.1%
2.126596
8.3%
2.065416
6.8%
2.135410
6.8%
2.144472
 
5.6%
2.053729
 
4.7%
Other values (30)10835
13.7%
ValueCountFrequency (%)
1.881
 
< 0.1%
1.962
 
< 0.1%
1.983
 
< 0.1%
1.999
 
< 0.1%
225
 
< 0.1%
2.01108
 
0.1%
2.02349
 
0.4%
2.03910
 
1.1%
2.042152
2.7%
2.053729
4.7%
ValueCountFrequency (%)
2.3513
 
< 0.1%
2.3425
 
< 0.1%
2.3346
0.1%
2.3236
< 0.1%
2.3148
0.1%
2.357
0.1%
2.2953
0.1%
2.2857
0.1%
2.2764
0.1%
2.2666
0.1%

X_28
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct39
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.118553683
Minimum1.93
Maximum2.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size619.0 KiB
2022-08-08T13:00:02.525217image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1.93
5-th percentile2.06
Q12.09
median2.12
Q32.14
95-th percentile2.18
Maximum2.35
Range0.42
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.04263835813
Coefficient of variation (CV)0.02012616365
Kurtosis4.308699528
Mean2.118553683
Median Absolute Deviation (MAD)0.02
Skewness1.310512141
Sum167821.23
Variance0.001818029584
MonotonicityNot monotonic
2022-08-08T13:00:02.654599image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
2.128460
10.7%
2.118248
10.4%
2.17912
10.0%
2.147873
9.9%
2.137822
9.9%
2.067650
9.7%
2.096069
7.7%
2.155638
7.1%
2.084426
 
5.6%
2.163862
 
4.9%
Other values (29)11255
14.2%
ValueCountFrequency (%)
1.931
 
< 0.1%
1.981
 
< 0.1%
1.993
 
< 0.1%
23
 
< 0.1%
2.015
 
< 0.1%
2.0228
 
< 0.1%
2.0375
 
0.1%
2.04369
 
0.5%
2.05837
 
1.1%
2.067650
9.7%
ValueCountFrequency (%)
2.3555
 
0.1%
2.3490
0.1%
2.33127
0.2%
2.32116
0.1%
2.31116
0.1%
2.3125
0.2%
2.29143
0.2%
2.28152
0.2%
2.27166
0.2%
2.26162
0.2%

X_29
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct33
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.173619517
Minimum2.02
Maximum2.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size619.0 KiB
2022-08-08T13:00:02.785905image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2.02
5-th percentile2.12
Q12.14
median2.17
Q32.2
95-th percentile2.26
Maximum2.36
Range0.34
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.04681096933
Coefficient of variation (CV)0.02153595373
Kurtosis1.985749761
Mean2.173619517
Median Absolute Deviation (MAD)0.03
Skewness1.166364803
Sum172183.27
Variance0.00219126685
MonotonicityNot monotonic
2022-08-08T13:00:02.904671image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
2.129389
11.9%
2.157498
9.5%
2.167390
9.3%
2.176888
8.7%
2.186733
8.5%
2.196710
8.5%
2.145692
7.2%
2.25595
 
7.1%
2.134760
 
6.0%
2.214480
 
5.7%
Other values (23)14080
17.8%
ValueCountFrequency (%)
2.021
 
< 0.1%
2.042
 
< 0.1%
2.065
 
< 0.1%
2.0716
 
< 0.1%
2.0841
 
0.1%
2.09217
 
0.3%
2.1762
 
1.0%
2.111960
 
2.5%
2.129389
11.9%
2.134760
6.0%
ValueCountFrequency (%)
2.36181
 
0.2%
2.35307
0.4%
2.34329
0.4%
2.33342
0.4%
2.32374
0.5%
2.31407
0.5%
2.3426
0.5%
2.29435
0.5%
2.28500
0.6%
2.27616
0.8%

X_38
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED

Distinct267
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-15.90735101
Minimum-17.09
Maximum32.23
Zeros0
Zeros (%)0.0%
Negative79214
Negative (%)> 99.9%
Memory size619.0 KiB
2022-08-08T13:00:03.042497image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-17.09
5-th percentile-16.33
Q1-16.16
median-15.99
Q3-15.75
95-th percentile-15.23
Maximum32.23
Range49.32
Interquartile range (IQR)0.41

Descriptive statistics

Standard deviation0.5320721989
Coefficient of variation (CV)-0.03344819629
Kurtosis1140.399844
Mean-15.90735101
Median Absolute Deviation (MAD)0.2
Skewness21.53589587
Sum-1260100.81
Variance0.2831008248
MonotonicityNot monotonic
2022-08-08T13:00:03.187137image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-16.111499
 
1.9%
-16.081453
 
1.8%
-16.041401
 
1.8%
-16.021396
 
1.8%
-15.991392
 
1.8%
-16.131376
 
1.7%
-16.171329
 
1.7%
-16.191291
 
1.6%
-16.231204
 
1.5%
-16.11135
 
1.4%
Other values (257)65739
83.0%
ValueCountFrequency (%)
-17.091
< 0.1%
-17.051
< 0.1%
-17.041
< 0.1%
-17.021
< 0.1%
-17.011
< 0.1%
-16.951
< 0.1%
-16.941
< 0.1%
-16.932
< 0.1%
-16.911
< 0.1%
-16.881
< 0.1%
ValueCountFrequency (%)
32.231
 
< 0.1%
-2.6561
0.1%
-14.11
 
< 0.1%
-14.121
 
< 0.1%
-14.21
 
< 0.1%
-14.251
 
< 0.1%
-14.261
 
< 0.1%
-14.351
 
< 0.1%
-14.381
 
< 0.1%
-14.391
 
< 0.1%

X_39
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct264
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-15.89356599
Minimum-17.09
Maximum-2.65
Zeros0
Zeros (%)0.0%
Negative79215
Negative (%)100.0%
Memory size619.0 KiB
2022-08-08T13:00:03.335507image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-17.09
5-th percentile-16.34
Q1-16.16
median-15.99
Q3-15.75
95-th percentile-15.24
Maximum-2.65
Range14.44
Interquartile range (IQR)0.41

Descriptive statistics

Standard deviation0.7055989191
Coefficient of variation (CV)-0.04439525525
Kurtosis268.278863
Mean-15.89356599
Median Absolute Deviation (MAD)0.19
Skewness14.534386
Sum-1259008.83
Variance0.4978698346
MonotonicityNot monotonic
2022-08-08T13:00:03.478625image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-16.111511
 
1.9%
-16.081488
 
1.9%
-16.131449
 
1.8%
-16.021418
 
1.8%
-16.041385
 
1.7%
-16.171329
 
1.7%
-15.991310
 
1.7%
-16.191302
 
1.6%
-15.951242
 
1.6%
-16.231221
 
1.5%
Other values (254)65560
82.8%
ValueCountFrequency (%)
-17.091
 
< 0.1%
-17.071
 
< 0.1%
-16.992
 
< 0.1%
-16.972
 
< 0.1%
-16.931
 
< 0.1%
-16.912
 
< 0.1%
-16.892
 
< 0.1%
-16.883
< 0.1%
-16.861
 
< 0.1%
-16.845
< 0.1%
ValueCountFrequency (%)
-2.65173
0.2%
-14.111
 
< 0.1%
-14.151
 
< 0.1%
-14.161
 
< 0.1%
-14.211
 
< 0.1%
-14.241
 
< 0.1%
-14.261
 
< 0.1%
-14.311
 
< 0.1%
-14.331
 
< 0.1%
-14.361
 
< 0.1%

X_40
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct263
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-16.57232961
Minimum-17.75
Maximum-14.78
Zeros0
Zeros (%)0.0%
Negative79215
Negative (%)100.0%
Memory size619.0 KiB
2022-08-08T13:00:03.632808image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-17.75
5-th percentile-16.99
Q1-16.81
median-16.64
Q3-16.4
95-th percentile-15.88
Maximum-14.78
Range2.97
Interquartile range (IQR)0.41

Descriptive statistics

Standard deviation0.3444261602
Coefficient of variation (CV)-0.02078320721
Kurtosis1.383041925
Mean-16.57232961
Median Absolute Deviation (MAD)0.2
Skewness1.086859227
Sum-1312777.09
Variance0.1186293798
MonotonicityNot monotonic
2022-08-08T13:00:03.774481image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-16.721432
 
1.8%
-16.761423
 
1.8%
-16.71408
 
1.8%
-16.791380
 
1.7%
-16.671377
 
1.7%
-16.811355
 
1.7%
-16.631316
 
1.7%
-16.851306
 
1.6%
-16.611182
 
1.5%
-16.881137
 
1.4%
Other values (253)65899
83.2%
ValueCountFrequency (%)
-17.751
< 0.1%
-17.722
< 0.1%
-17.691
< 0.1%
-17.621
< 0.1%
-17.591
< 0.1%
-17.581
< 0.1%
-17.562
< 0.1%
-17.552
< 0.1%
-17.532
< 0.1%
-17.521
< 0.1%
ValueCountFrequency (%)
-14.781
 
< 0.1%
-14.81
 
< 0.1%
-14.831
 
< 0.1%
-14.881
 
< 0.1%
-14.972
< 0.1%
-151
 
< 0.1%
-15.011
 
< 0.1%
-15.051
 
< 0.1%
-15.061
 
< 0.1%
-15.074
< 0.1%

X_41
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct44
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.1871364
Minimum20.73
Maximum21.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size619.0 KiB
2022-08-08T13:00:03.927018image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum20.73
5-th percentile21.14
Q121.17
median21.19
Q321.21
95-th percentile21.24
Maximum21.62
Range0.89
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.03086650198
Coefficient of variation (CV)0.001456851053
Kurtosis3.214408381
Mean21.1871364
Median Absolute Deviation (MAD)0.02
Skewness-0.08115085437
Sum1678339.01
Variance0.0009527409446
MonotonicityNot monotonic
2022-08-08T13:00:04.066600image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
21.1911427
14.4%
21.1710227
12.9%
21.189520
12.0%
21.28385
10.6%
21.218289
10.5%
21.166639
8.4%
21.155454
6.9%
21.225045
6.4%
21.233829
 
4.8%
21.142804
 
3.5%
Other values (34)7596
9.6%
ValueCountFrequency (%)
20.731
< 0.1%
20.781
< 0.1%
20.812
< 0.1%
20.852
< 0.1%
20.861
< 0.1%
20.891
< 0.1%
20.971
< 0.1%
20.981
< 0.1%
20.991
< 0.1%
21.012
< 0.1%
ValueCountFrequency (%)
21.621
 
< 0.1%
21.511
 
< 0.1%
21.332
 
< 0.1%
21.326
 
< 0.1%
21.3123
 
< 0.1%
21.343
 
0.1%
21.2965
 
0.1%
21.28158
 
0.2%
21.27288
0.4%
21.26652
0.8%

X_42
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct45
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.05950237
Minimum20.79
Maximum21.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size619.0 KiB
2022-08-08T13:00:04.213084image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum20.79
5-th percentile21
Q121.03
median21.06
Q321.09
95-th percentile21.13
Maximum21.44
Range0.65
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.04023339753
Coefficient of variation (CV)0.001910462879
Kurtosis0.4649611753
Mean21.05950237
Median Absolute Deviation (MAD)0.03
Skewness0.05199705833
Sum1668228.48
Variance0.001618726277
MonotonicityNot monotonic
2022-08-08T13:00:04.355164image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
21.068419
10.6%
21.057717
9.7%
21.087441
9.4%
21.047207
9.1%
21.076645
8.4%
21.036368
 
8.0%
21.095170
 
6.5%
21.15126
 
6.5%
21.024755
 
6.0%
21.014185
 
5.3%
Other values (35)16182
20.4%
ValueCountFrequency (%)
20.791
 
< 0.1%
20.811
 
< 0.1%
20.881
 
< 0.1%
20.8910
 
< 0.1%
20.922
 
< 0.1%
20.9124
 
< 0.1%
20.9249
 
0.1%
20.9363
 
0.1%
20.94115
0.1%
20.95176
0.2%
ValueCountFrequency (%)
21.441
 
< 0.1%
21.313
 
< 0.1%
21.292
 
< 0.1%
21.284
< 0.1%
21.271
 
< 0.1%
21.252
 
< 0.1%
21.245
< 0.1%
21.238
< 0.1%
21.226
< 0.1%
21.216
< 0.1%

X_43
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct54
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.20391706
Minimum20.8
Maximum21.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size619.0 KiB
2022-08-08T13:00:04.511539image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum20.8
5-th percentile21.13
Q121.17
median21.2
Q321.24
95-th percentile21.28
Maximum21.41
Range0.61
Interquartile range (IQR)0.07

Descriptive statistics

Standard deviation0.04727842814
Coefficient of variation (CV)0.002229702559
Kurtosis0.6533989495
Mean21.20391706
Median Absolute Deviation (MAD)0.03
Skewness-0.1374009512
Sum1679668.29
Variance0.002235249768
MonotonicityNot monotonic
2022-08-08T13:00:04.656828image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21.197530
 
9.5%
21.217475
 
9.4%
21.26345
 
8.0%
21.175883
 
7.4%
21.235713
 
7.2%
21.185709
 
7.2%
21.225583
 
7.0%
21.245308
 
6.7%
21.163910
 
4.9%
21.253750
 
4.7%
Other values (44)22009
27.8%
ValueCountFrequency (%)
20.81
 
< 0.1%
20.841
 
< 0.1%
20.871
 
< 0.1%
20.891
 
< 0.1%
20.91
 
< 0.1%
20.922
< 0.1%
20.931
 
< 0.1%
20.951
 
< 0.1%
20.961
 
< 0.1%
20.973
< 0.1%
ValueCountFrequency (%)
21.411
 
< 0.1%
21.44
 
< 0.1%
21.397
 
< 0.1%
21.387
 
< 0.1%
21.3719
 
< 0.1%
21.3625
 
< 0.1%
21.3565
 
0.1%
21.3490
 
0.1%
21.33170
0.2%
21.32304
0.4%

X_44
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct37
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.16023266
Minimum20.93
Maximum21.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size619.0 KiB
2022-08-08T13:00:04.803559image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum20.93
5-th percentile21.1
Q121.13
median21.16
Q321.19
95-th percentile21.22
Maximum21.32
Range0.39
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.04214197817
Coefficient of variation (CV)0.001991564972
Kurtosis-0.1111087146
Mean21.16023266
Median Absolute Deviation (MAD)0.03
Skewness-0.3667056325
Sum1676207.83
Variance0.001775946324
MonotonicityNot monotonic
2022-08-08T13:00:05.071404image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
21.198156
10.3%
21.127209
9.1%
21.147202
9.1%
21.136920
8.7%
21.26738
8.5%
21.216626
8.4%
21.155974
 
7.5%
21.185380
 
6.8%
21.174686
 
5.9%
21.113983
 
5.0%
Other values (27)16341
20.6%
ValueCountFrequency (%)
20.931
 
< 0.1%
20.941
 
< 0.1%
20.954
 
< 0.1%
20.968
 
< 0.1%
20.973
 
< 0.1%
20.988
 
< 0.1%
20.9919
 
< 0.1%
2130
 
< 0.1%
21.0174
0.1%
21.02119
0.2%
ValueCountFrequency (%)
21.321
 
< 0.1%
21.282
 
< 0.1%
21.272
 
< 0.1%
21.2619
 
< 0.1%
21.25137
 
0.2%
21.24654
 
0.8%
21.231951
 
2.5%
21.223610
4.6%
21.216626
8.4%
21.26738
8.5%

X_45
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct40
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.154575901
Minimum0
Maximum0.42
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size619.0 KiB
2022-08-08T13:00:05.219005image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.08
Q10.12
median0.15
Q30.19
95-th percentile0.23
Maximum0.42
Range0.42
Interquartile range (IQR)0.07

Descriptive statistics

Standard deviation0.04718884696
Coefficient of variation (CV)0.3052794559
Kurtosis-0.353650489
Mean0.154575901
Median Absolute Deviation (MAD)0.03
Skewness0.2462375801
Sum12244.73
Variance0.002226787277
MonotonicityNot monotonic
2022-08-08T13:00:05.350653image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0.136166
 
7.8%
0.126049
 
7.6%
0.145833
 
7.4%
0.165773
 
7.3%
0.155700
 
7.2%
0.115465
 
6.9%
0.175449
 
6.9%
0.185188
 
6.5%
0.194763
 
6.0%
0.14462
 
5.6%
Other values (30)24367
30.8%
ValueCountFrequency (%)
01
 
< 0.1%
0.013
 
< 0.1%
0.0210
 
< 0.1%
0.0334
 
< 0.1%
0.04124
 
0.2%
0.05308
 
0.4%
0.06646
 
0.8%
0.071206
 
1.5%
0.082086
2.6%
0.093259
4.1%
ValueCountFrequency (%)
0.422
 
< 0.1%
0.392
 
< 0.1%
0.381
 
< 0.1%
0.363
 
< 0.1%
0.353
 
< 0.1%
0.345
 
< 0.1%
0.337
 
< 0.1%
0.3210
 
< 0.1%
0.3132
< 0.1%
0.360
0.1%

Interactions

2022-08-08T12:59:54.806222image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:47.985596image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:51.370883image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:54.450645image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:57.675138image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:00.771361image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:03.982188image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:07.164288image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:10.126488image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:13.340441image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:16.414870image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:19.778806image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:23.129650image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:26.324304image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:29.224997image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:32.440034image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:35.499615image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:38.661906image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:41.996597image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:45.167531image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:48.241216image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:51.474779image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:54.949810image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:48.143203image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:51.518705image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:54.598626image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:57.818939image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:00.918538image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:04.125694image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:07.307938image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:10.419719image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:13.482057image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:16.567438image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:19.938869image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:23.284815image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:26.465071image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:29.515210image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:32.582909image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:35.648125image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:38.960920image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:42.146746image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:45.316041image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:48.390791image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:51.628736image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:55.087469image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:48.315026image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:51.660332image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:54.739466image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:57.953650image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:01.068111image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:04.270421image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:07.444542image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:10.560349image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:13.617703image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:16.725016image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:20.093455image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:23.428570image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:26.600296image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:29.655844image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:32.718547image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:35.792834image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:39.104346image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:42.291363image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:45.458510image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:48.676589image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:51.777499image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:55.224635image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:48.468615image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:51.800982image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:54.880402image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:58.088270image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:01.216713image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:04.411839image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:07.581282image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:10.700943image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:13.752965image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:16.876209image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:20.250039image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:23.572211image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:26.734902image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:29.795738image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:32.853222image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:35.934455image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:39.247596image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:42.433981image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:45.599154image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:48.818057image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:51.923137image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:55.354847image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:48.615421image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:51.935156image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:55.015042image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:58.216438image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:01.353347image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:04.544842image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:07.712397image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:10.834586image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:13.881580image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:17.015652image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:20.398639image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:23.706290image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:26.860854image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:29.930352image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:32.980390image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:36.071084image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:39.388187image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:42.569267image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:45.735536image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:48.950703image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:52.061762image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:55.494503image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:48.771005image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:52.077313image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
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2022-08-08T12:58:59.562646image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:02.815510image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:06.068213image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:09.050983image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:12.228805image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:15.354080image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:18.455339image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:21.909548image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:25.250469image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:28.172815image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:31.326749image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:34.440280image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:37.486554image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:40.837352image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:44.095153image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:47.127292image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:50.352519image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:53.653774image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:56.889174image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:50.208768image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:53.466859image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:56.689781image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:59.688894image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:02.954176image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:06.200376image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:09.179607image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:12.361485image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:15.479411image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:18.592976image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:22.055350image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:25.377640image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:28.296479image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:31.459394image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:34.566052image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:37.625884image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:40.976000image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:44.221404image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:47.259937image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:50.485164image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:53.790570image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:57.034785image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:50.360895image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:53.611726image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:56.836474image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:59.827522image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:03.102031image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:06.339436image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:09.317245image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:12.504069image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:15.617178image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:18.740992image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:22.213256image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:25.517183image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:28.432326image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:31.603009image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:34.701755image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:37.772527image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:41.126059image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:44.361444image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:47.403618image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:50.628904image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:53.941785image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:57.173442image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:50.506740image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:53.749390image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:56.975378image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:59.960674image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:03.247614image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:06.476071image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:09.449916image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:12.641682image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:15.749495image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:18.884789image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:22.367811image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:25.651822image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:28.562982image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:31.740917image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:34.834372image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:37.921130image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:41.268674image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:44.497772image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:47.543248image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:50.769092image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:54.085483image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:57.307091image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:50.648289image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:53.884483image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:57.108150image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:00.089330image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:03.386243image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:06.608713image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:09.581076image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:12.775902image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:15.876745image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:19.023451image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:22.512877image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:25.780507image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:28.689644image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:31.874559image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:34.962538image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:38.065808image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:41.406276image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:44.625968image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:47.677718image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:50.903456image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:54.224671image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:57.452732image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:50.795794image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:54.028680image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:57.251766image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:00.224210image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:03.535842image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:06.747341image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:09.717806image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:12.918216image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:16.012921image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:19.175056image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:22.666029image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:25.918110image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:28.825432image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:32.016180image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:35.097079image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:38.214439image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:41.556210image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:44.761612image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:47.819314image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:51.046834image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:54.370384image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:57.597343image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:50.942400image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:54.172854image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:57.394384image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:00.360354image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:03.686946image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:06.891953image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:09.854006image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:13.061801image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:16.148586image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:19.334164image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:22.823469image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:26.054743image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:28.960078image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:32.158825image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:35.233681image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:38.365087image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:41.706840image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:44.898247image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:47.959967image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:51.190514image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:54.516966image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:57.749146image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:51.234586image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:54.318999image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:58:57.542984image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:00.499052image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:03.845522image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:07.038599image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:09.995692image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:13.207839image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:16.288215image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:19.490822image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:22.983576image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:26.196676image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:29.099705image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:32.308630image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:35.373462image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:38.519706image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:41.858913image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:45.038875image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:48.107548image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:51.340144image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-08T12:59:54.668590image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Correlations

2022-08-08T13:00:05.495267image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-08-08T13:00:05.739803image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-08-08T13:00:05.984148image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-08-08T13:00:06.227503image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-08-08T12:59:58.113618image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
A simple visualization of nullity by column.
2022-08-08T12:59:58.639769image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

First rows

df_indexX_12X_13X_14X_15X_16X_17X_18X_24X_25X_26X_27X_28X_29X_38X_39X_40X_41X_42X_43X_44X_45
004.340.1813.3413.3713.4013.5213.442.052.072.052.062.062.35-16.41-16.36-17.0321.2020.9921.2821.090.29
114.380.1813.3313.3313.4613.5113.422.102.102.102.102.172.28-16.06-16.11-16.7421.1621.0321.1621.130.13
224.360.1513.3613.3613.3913.5113.432.072.062.042.072.102.26-16.16-16.17-16.7621.1321.0321.1721.120.14
334.330.2113.3013.3313.3913.5113.402.062.052.032.062.072.12-16.05-16.03-16.6721.1820.9821.2021.090.22
444.350.1613.3513.3413.4113.5013.422.092.062.092.122.332.13-16.25-16.23-16.8521.1620.9621.1821.100.22
554.380.1413.3713.3713.4613.5113.442.112.092.092.102.102.18-16.45-16.50-17.1421.1721.0721.1921.160.12
664.370.1413.3613.3813.4313.5013.442.072.042.042.032.072.12-15.60-15.58-16.2321.1820.9921.2021.100.21
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994.350.1413.3713.3813.4213.5113.462.052.052.272.162.082.25-16.03-16.00-16.6321.1321.0021.1721.100.17

Last rows

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